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Jindrich Duník
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2020 – today
- 2024
- [j22]Shuo Tang
, Tales Imbiriba, Jindrich Duník
, Ondrej Straka
, Pau Closas
:
Augmented Physics-Based Models for High-Order Markov Filtering. Sensors 24(18): 6132 (2024) - [j21]Kegen Yu
, Jindrich Duník
, Michael S. Braasch
, Pau Closas
, Fabio Dovis
:
Guest Editorial for the TAES Special Section on Machine Learning Methods for Aerial and Space Positioning and Navigation. IEEE Trans. Aerosp. Electron. Syst. 60(3): 2494-2499 (2024) - [j20]Tales Imbiriba
, Ondrej Straka
, Jindrich Duník
, Pau Closas
:
Augmented Physics-Based Machine Learning for Navigation and Tracking. IEEE Trans. Aerosp. Electron. Syst. 60(3): 2692-2704 (2024) - [c65]Jindrich Duník, Jakub Matousek, Ondrej Straka, Erik Blasch, John Hiles, Ruixin Niu:
Stochastic Integration Based Estimator: Robust Design and Stone Soup Implementation. FUSION 2024: 1-8 - [c64]Jindrich Duník, Ivo Puncochár, Ladislav Král, Ondrej Straka, Ondrej Daniel, Fabricio dos Santos Prol, Muwahida Liaquat, Mohammad Zahidul Hasan Bhuiyan:
Multi-layer GNSS and LEO-PNT Positioning: Integrity under Constellations' Correlation. FUSION 2024: 1-8 - [c63]Jan Krejcí, Oliver Kost, Ondrej Straka, Jindrich Duník:
Pedestrian Tracking with Monocular Camera using Unconstrained 3D Motion Model. FUSION 2024: 1-8 - [c62]Jakub Matousek, Jindrich Duník, Marek Brandner:
Efficient Spectral Differentiation in Grid-Based Continuous State Estimation. FUSION 2024: 1-8 - [c61]Yehonatan Dahan, Guy Revach, Jindrich Duník, Nir Shlezinger:
Uncertainty Quantification in Deep Learning Based Kalman Filters. ICASSP 2024: 13121-13125 - [c60]Jan Krejcí, Oliver Kost, Ondrej Straka, Jindrich Duník:
Pedestrian Tracking with Monocular Camera: Simple 2D Filter Springing From 3D Modeling. MFI 2024: 1-6 - [c59]Jindrich Duník, Ondrej Straka, Oliver Kost, S. Tang, Tales Imbiriba, Pau Closas:
Noise Identification for Data-Augmented Physics-Based State-Space Models. SiPS 2024: 101-106 - [i6]Jan Krejcí, Oliver Kost, Ondrej Straka, Jindrich Duník:
Pedestrian Tracking with Monocular Camera using Unconstrained 3D Motion Model. CoRR abs/2403.11978 (2024) - [i5]Nir Shlezinger, Guy Revach, Anubhab Ghosh, Saikat Chatterjee, Shuo Tang, Tales Imbiriba, Jindrich Duník, Ondrej Straka, Pau Closas, Yonina C. Eldar:
AI-Aided Kalman Filters. CoRR abs/2410.12289 (2024) - 2023
- [j19]Jindrich Duník
, Jakub Matousek
, Ondrej Straka
:
Design of Efficient Point-Mass Filter for Linear and Nonlinear Dynamic Models. IEEE Control. Syst. Lett. 7: 2005-2010 (2023) - [j18]Oliver Kost
, Jindrich Duník
, Ondrej Straka
:
Measurement Difference Method: A Universal Tool for Noise Identification. IEEE Trans. Autom. Control. 68(3): 1792-1799 (2023) - [j17]Oliver Kost
, Jindrich Duník
, Ondrej Straka
, Ondrej Daniel
:
Identification of GNSS Measurement Error: From Time to Elevation Dependency. IEEE Trans. Aerosp. Electron. Syst. 59(6): 8931-8943 (2023) - [j16]Petr Tichavský
, Ondrej Straka
, Jindrich Duník
:
Grid-Based Bayesian Filters With Functional Decomposition of Transient Density. IEEE Trans. Signal Process. 71: 92-104 (2023) - [c58]Jakub Matousek
, Jindrich Duník, Robin Forsling
:
Distributed Point-Mass Filter with Reduced Data Transfer Using Copula Theory. ACC 2023: 1649-1654 - [c57]Jindrich Duník, Ladislav Král, Ivo Puncochár, Ondrej Straka, Ondrej Daniel, O. Lushchykov:
Fault Detection in Resilient Time Provision. FUSION 2023: 1-8 - [c56]Jan Krejcí
, Oliver Kost, Ondrej Straka, Jindrich Duník:
Bounding Box Dynamics in Visual Tracking: Modeling and Noise Covariance Estimation. FUSION 2023: 1-6 - [c55]Jakub Matousek
, Jindrich Duník, Marek Brandner:
Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration. FUSION 2023: 1-8 - [c54]Jindrich Duník, Oliver Kost, Ondrej Straka, Ondrej Daniel:
GNSS Pseudorange Measurement Noise Identification by Measurement Difference Method. PLANS 2023: 208-215 - [c53]Jindrich Duník, Ondrej Straka, Benjamin Noack:
Classification of Uncertainty Sources for Reliable Bayesian Estimation. SDF-MFI 2023: 1-8 - [i4]Jakub Matousek, Jindrich Duník, Marek Brandner, Chan Gook Park, Yeongkwon Choe:
Efficient Point Mass Predictor for Continuous and Discrete Models with Linear Dynamics. CoRR abs/2302.13827 (2023) - [i3]Jakub Matousek, Jindrich Duník, Marek Brandner:
Design of Efficient Point-Mass Filter with Application in Terrain Aided Navigation. CoRR abs/2303.05100 (2023) - [i2]Matej Smíd, Jindrich Duník:
Online Learning and Control for Data-Augmented Quadrotor Model. CoRR abs/2304.00503 (2023) - 2022
- [j15]Jindrich Duník, Ondrej Straka, Jakub Matousek
, Erik Blasch:
Copula-based convolution for fast point-mass prediction. Signal Process. 192: 108367 (2022) - [c52]Tales Imbiriba, Ahmet Demirkaya, Jindrich Duník, Ondrej Straka, Deniz Erdogmus, Pau Closas:
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. FUSION 2022: 1-6 - [c51]Jakub Matousek, Jindrich Duník, Ondrej Straka, Erik Blasch:
Density Approximation Error Assessment and Compensation in Point-Mass Filter. FUSION 2022: 1-7 - [c50]Ondrej Straka, Jindrich Duník:
Efficient Implementation of Marginal Particle Filter by Functional Density Decomposition. FUSION 2022: 1-8 - [c49]Milos Veselý, Jindrich Duník, Petr Hotmar, Tomas Béda:
Point-Mass Filter in Land and Air Terrain-Aided Navigation: Performance Evaluation. FUSION 2022: 1-8 - [c48]Petr Tichavský, Ondrej Straka, Jindrich Duník:
Point-Mass Filter with Decomposition of Transient Density. ICASSP 2022: 5752-5756 - [i1]Tales Imbiriba, Ahmet Demirkaya, Jindrich Duník, Ondrej Straka, Deniz Erdogmus, Pau Closas:
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. CoRR abs/2204.06471 (2022) - 2021
- [j14]Jindrich Duník
, Ondrej Straka
, Jakub Matousek
, Marek Brandner
:
Accurate Density-Weighted Convolution for Point-Mass Filter and Predictor. IEEE Trans. Aerosp. Electron. Syst. 57(6): 3574-3584 (2021) - [c47]Jakub Matousek
, Marek Brandner, Jindrich Duník:
Continuous Nonlinear State Prediction by Finite Volume Method on Logically Rectangular Grids. CDC 2021: 5890-5895 - [c46]Jindrich Duník, Ondrej Straka, Uwe D. Hanebeck:
Cooperative Unscented Kalman Filler with Bank of Scaling Parameter Values. FUSION 2021: 1-8 - [c45]Jakub Matousek, Jindrich Duník, Marek Brandner, Victor Elvira:
Comparison of Discrete and Continuous State Estimation with Focus on Active Flux Scheme. FUSION 2021: 1-8 - [c44]Ondrej Straka, Jindrich Duník, Víctor Elvira:
Importance Gauss-Hermite Gaussian Filter for Models with Non-Additive Non-Gaussian Noises. FUSION 2021: 1-7 - 2020
- [c43]Jindrich Duník, Ondrej Straka, Jakub Matousek
:
Reliable Convolution in Point-Mass Filter for a Class of Nonlinear Models. FUSION 2020: 1-7 - [c42]Ondrej Straka, Jindrich Duník:
Resampling-free Stochastic Integration Filter. FUSION 2020: 1-8 - [c41]Jindrich Duník, Ondrej Straka, Jakub Matousek
:
Conditional Density Driven Grid Design in Point-Mass Filter. ICASSP 2020: 9180-9184 - [c40]Jindrich Duník, Oliver Kost, Ondrej Straka, Erik Blasch:
Navigation and Estimation Improvement by Environmental-Driven Noise Mode Detection. PLANS 2020: 925-932
2010 – 2019
- 2019
- [j13]Jindrich Duník
, Milos Sotak, Milos Veselý, Ondrej Straka
, Wesley Hawkinson:
Design of Rao-Blackwellized Point-Mass Filter With Application in Terrain Aided Navigation. IEEE Trans. Aerosp. Electron. Syst. 55(1): 251-272 (2019) - [j12]Jindrich Duník
, Ondrej Straka
:
Design of Rao-Blackwellized Point-Mass Smoother for Conditionally Linear and Gaussian Models. IEEE Trans. Signal Process. 67(23): 6053-6066 (2019) - [c39]Jindrich Duník, Ondrej Straka:
Rao-Blackwellised Point-Mass Smoothers for a Class of Conditionally Linear Dynamic Models. FUSION 2019: 1-8 - [c38]Jindrich Duník, Ondrej Straka, Erik Blasch:
Solution Separation Unscented Kalman Filter. FUSION 2019: 1-8 - 2018
- [j11]Jindrich Duník
, Oliver Kost, Ondrej Straka:
Design of measurement difference autocovariance method for estimation of process and measurement noise covariances. Autom. 90: 16-24 (2018) - [j10]Jindrich Duník
, Ondrej Straka, Benjamin Noack, Jannik Steinbring, Uwe D. Hanebeck
:
Directional splitting of Gaussian density in non-linear random variable transformation. IET Signal Process. 12(9): 1073-1081 (2018) - [j9]Jindrich Duník
, Ondrej Straka:
State estimate consistency monitoring in Gaussian filtering framework. Signal Process. 148: 145-156 (2018) - [c37]Oliver Kost, Jindrich Duník
, Ondrej Straka:
Estimation of Noise Means and Covariance Matrices for Linear Time-Varying Models. ACC 2018: 265-271 - [c36]Ondrej Straka, Jindrich Duník
:
Entropy-Based Consistency Monitoring for Stochastic Integration Filter. FUSION 2018: 1676-1683 - [c35]Pavol Malinak, Milos Sotak, Zdenek Kana, Radek Baranek, Jindrich Duník
:
Pure-inertial AHRS with adaptive elimination of non-gravitational vehicle acceleration. PLANS 2018: 696-707 - [c34]Jindrich Duník
, Oliver Kost, Ondrej Straka, Erik Blasch:
State and measurement noise in positioning and tracking: Covariance matrices Estimation and Gaussianity Assessment. PLANS 2018: 1326-1335 - 2017
- [j8]Jindrich Duník
, Ondrej Straka, Miroslav Simandl:
On Autocovariance Least-Squares Method for Noise Covariance Matrices Estimation. IEEE Trans. Autom. Control. 62(2): 967-972 (2017) - [c33]Oliver Kost, Jindrich Duník
, Ondrej Straka:
Noise covariance matrix estimation in navigation and tracking: Impact of linearisation error. CDC 2017: 958-964 - [c32]Jindrich Duník
, Ondrej Straka, Jirí Ajgl
, Erik Blasch:
From competitive to cooperative filter design. FUSION 2017: 1-9 - [c31]Jindrich Duník
, Ondrej Straka, Ángel Luis García-Fernández:
Performance evaluation of nonlinearity and non-Gaussianity measures in state estimation. FUSION 2017: 1-10 - [c30]Ondrej Straka, Jindrich Duník
:
Stochastic integration Student's-t filter. FUSION 2017: 1-8 - 2016
- [j7]Miroslav Simandl, Ondrej Straka
, Jindrich Duník
:
Efficient adaptation of design parameters of derivative-free filters. Autom. Remote. Control. 77(2): 261-276 (2016) - [c29]Ondrej Straka, Jindrich Duník
, Ivo Puncochár:
Directional Splitting for Structure Adaptation of Bayesian Filters. ACC 2016: 2705-2710 - [c28]Jindrich Duník
, Ondrej Straka, Oliver Kost:
Measurement difference autocovariance method for noise covariance matrices estimation. CDC 2016: 365-370 - [c27]Ondrej Straka, Jindrich Duník:
Characteristic function based performance index for Bayesian filters. FUSION 2016: 1837-1844 - [c26]Jindrich Duník, Ondrej Straka, Mahendra Mallick, Erik Blasch:
Survey of nonlinearity and non-Gaussianity measures for state estimation. FUSION 2016: 1845-1852 - [c25]Jindrich Havlik, Ondrej Straka, Jindrich Duník, Jirí Ajgl
:
On Nonlinearity Measuring Aspects of Stochastic Integration Filter. ICINCO (1) 2016: 353-361 - [c24]Jindrich Havlík, Ondrej Straka, Jindrich Duník, Jirí Ajgl:
Stochastic Integration Filter with Improved State Estimate Mean-Square Error Computation. ICINCO (Selected Papers) 2016: 423-439 - 2015
- [j6]Jindrich Duník
, Ondrej Straka
, Miroslav Simandl, Erik Blasch:
Random-point-based filters: analysis and comparison in target tracking. IEEE Trans. Aerosp. Electron. Syst. 51(2): 1403-1421 (2015) - [c23]Ondrej Straka
, Jindrich Duník
, Miroslav Simandl:
Structure adaptation of nonlinear filters based on non-Gaussianity measures. ACC 2015: 3162-3167 - [c22]Jirí Ajgl, Miroslav Simandl, Jindrich Duník:
Approximation of powers of Gaussian mixtures. FUSION 2015: 878-885 - [c21]Jindrich Duník, Ondrej Straka, Miroslav Simandl, Oliver Kost, Jirí Ajgl, Milos Sotak, Radek Baranek, Zdenek Kana:
Estimation of state and measurement noise characteristics. FUSION 2015: 1817-1824 - [c20]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Design of discrete second order filters for continuous-discrete models. FUSION 2015: 1825-1832 - 2014
- [j5]Ondrej Straka
, Jindrich Duník
, Miroslav Simandl:
Unscented Kalman filter with advanced adaptation of scaling parameter. Autom. 50(10): 2657-2664 (2014) - [c19]Jindrich Duník
, Ondrej Straka
, Miroslav Simandl:
Self-assessment of local filters by non-Gaussianity measures. ACC 2014: 1723-1728 - [c18]Jindrich Duník, Ondrej Straka, Miroslav Simandl:
On sigma-point set rotation in derivative-free filters. FUSION 2014: 1-8 - [c17]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Measures of non-Gaussianity in unscented Kaiman filter framework. FUSION 2014: 1-8 - [c16]Ondrej Straka, Jindrich Duník, Miroslav Simandl, Erik Blasch:
Comparison of adaptive and randomized unscented Kalman filter algorithms. FUSION 2014: 1-8 - 2013
- [j4]Jindrich Duník
, Ondrej Straka
, Miroslav Simandl:
Stochastic Integration Filter. IEEE Trans. Autom. Control. 58(6): 1561-1566 (2013) - [c15]Ondrej Straka, Jindrich Duník, Miroslav Simandl, Jindrich Havlik:
Aspects and comparison of matrix decompositions in unscented Kalman filter. ACC 2013: 3075-3080 - [c14]Jindrich Duník, Ondrej Straka, Miroslav Simandl:
Nonlinearity and non-Gaussianity measures for stochastic dynamic systems. FUSION 2013: 204-211 - [c13]Ondrej Straka, Jindrich Duník, Miroslav Simandl, Jindrich Havlik:
Truncated randomized unscented Kalman filter for interval constrained state estimation. FUSION 2013: 2081-2088 - 2012
- [j3]Ondrej Straka
, Jindrich Duník, Miroslav Simandl:
Truncation nonlinear filters for state estimation with nonlinear inequality constraints. Autom. 48(2): 273-286 (2012) - [j2]Jindrich Duník, Miroslav Simandl, Ondrej Straka
:
Unscented Kalman Filter: Aspects and Adaptive Setting of Scaling Parameter. IEEE Trans. Autom. Control. 57(9): 2411-2416 (2012) - [c12]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Scaling parameter in unscented transform: Analysis and specification. ACC 2012: 5550-5555 - [c11]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Randomized unscented Kalman filter in target tracking. FUSION 2012: 503-510 - [c10]Ondrej Straka, Jindrich Duník, Miroslav Simandl, Erik Blasch:
Randomized unscented transform in state estimation of non-Gaussian systems: Algorithms and performance. FUSION 2012: 2004-2011 - 2011
- [c9]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Truncated unscented particle filter. ACC 2011: 1825-1830 - [c8]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Gaussian sum unscented Kalman filter with adaptive scaling parameters. FUSION 2011: 1-8 - [c7]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Performance evaluation of local state estimation methods in bearings-only tracking problems. FUSION 2011: 1-8 - 2010
- [c6]Jindrich Duník, Miroslav Simandl, Ondrej Straka:
Multiple-model filtering with multiple constraints. ACC 2010: 6858-6863 - [c5]Jindrich Duník, Miroslav Simandl, Ondrej Straka:
Adaptive choice of scaling parameter in derivative-free local filters. FUSION 2010: 1-8 - [c4]Ondrej Straka, Miroslav Flídr, Jindrich Duník, Miroslav Simandl, Erik Blasch:
Nonlinear estimation framework in target tracking. FUSION 2010: 1-8
2000 – 2009
- 2009
- [j1]Miroslav Simandl, Jindrich Duník:
Derivative-free estimation methods: New results and performance analysis. Autom. 45(7): 1749-1757 (2009) - [c3]Ondrej Straka, Miroslav Simandl, Jindrich Duník:
Gaussian mixtures proposal density in particle filter for track-before-detect. FUSION 2009: 270-277 - 2007
- [c2]Pavla Pecherková, Jitka Homolová, Jindrich Duník:
Estimation of state and parameters of traffic system. ICINCO-RA (2) 2007: 223-228 - 2005
- [c1]Jindrich Duník, Miroslav Simandl, Ondrej Straka
, Ladislav Král
:
Performance analysis of derivative-free filters. CDC/ECC 2005: 1941-1946
Coauthor Index

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